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Language Skills

R
SQL
Python
Javascript
Julia
NA
Spanish
Greek

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Last updated on 2020-07-21.

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Andrew G. Argeros

Dedicated and driven current undergraduate student with a passion for statistical, analytical, and data driven approaches to modern issues. Enjoys problem solving through data driven thinking and computational methods.

Skilled in applications of R, SQL, and Python. Avid presenter at national data science competitions. Looking to gain experience in the corporate sector and to further skills in machine learning at scale.

Education

B.S., Computational Data Science; B.B.A., Business Analytics; Minor, Economics

Hamline University

St. Paul, MN

2021 (exp.) - 2018

  • Advisors: Dr. Stacie Bosley and Dr. Andy Rundquist
  • President’s Scholarship Recipient
  • NCAA Varsity Athlete (Men’s Tennis)

High School Dipolma

Coon Rapids High School

Coon Rapids, MN

2018 - 2014

  • Graduated with Honors
  • Two time AP Scholar

Research Experience

Research Assistant to the Dean

Hamline University School of Business

St. Paul, MN

Current - 2020

  • Hired in 2020 for ad hoc data science needs in the Hamline Business School. Responsibilites include working closely with Dean McCarthy, Support Staff, and Faculty to effectively manage and deploy analyics and data science projects.
  • Student Analytics Director of DAC @ Hamline high school data analytics competition.

Research Assistant to Dr. Eric Hammer

Hamline University School of Business

St. Paul, MN

Current - 2019

  • Analyzing modifications to inputs of Hawk/Dove game theory model through use of agent based modeling.
  • Planning collaboration on a project studying cultures’ proverbs and “pop-culture” on voting behavior. Based on the work of Michalopoulos and Xue (2017) on the effects of folklore on rational voting theory.

Industry Experience

Data Science Intern

ExceleraRx Corp.

Minneapolis, MN

Current - 2020

  • Currently directing and implementing at-scale analytics and machine learning affecting major health systems, manufacturers, and payers in the realm of specialty pharmacy.
  • Built a machine learning implementation to identify patients at risk for inadherence in subpopulations of metastatic breast cancer patients. Currently in production at several health systems.

Consultant Data Scientist

Minnesota Hospital Association

St. Paul, MN

2020 - 2019

  • Analyzed workforce data on MHA’s members for the assocation’s annual workforce review.

Planning Department Intern

Northwestern Mutual

Minneapolis, MN

2020 - 2019

  • Worked on a team of six to analyze and manage the financial portfolios of more than two thousand clients across the country. Oversaw a client’s investment process from onboarding through investment and rebalancing.
  • Built a system using R and Shiny to effectively manage the department’s invoicing system.




Data Science Competitions & Projects

Optimizing New York City’s Housing

BAC @ MC 2020

New York City, NY

2020

  • Used multiple spatial analysis (GIS) and dimension reduction techniques to find an optimization for affordable homeownership in the city.
  • Conference cancelled due to COVID-19 Pandemic.

MLB Team Success: Offense vs. Defense

Minnesota Economic Association

Collegeville, MN

2020

  • Analyzed the importence of different statistics on predicting Win/Loss percentage. Selected to present at MEA Conference 2020

To Settle or Not to Settle: Classifying the Outcomes of the Federal Courts

MUDAC 2020

Virutal

2020

  • Built a machine learning system to classify outcomes of the US Federal Courts. Used an ad-hoc ensemble of dual logistic regressive classifiers.
  • Presented virtually at the conference

Forecasting Soybean Futures: Prophet & VAR

MinneMUDAC 2019

Eden Prairie, MN

2019

  • Accurately forecasted the price of three target soybean futures securities. Model comprised of an ensemble of Facebook Prophet and Vector Autoregression. Model Accuracy ~99.5%.
  • 2nd Place Overall & Analytical Acumen Award Winner
  • Invited to present to industry leaders at FASTCON 2020

The Future of Renewable Energy in New York City

BAC @ MC 2019

New York City, NY

2019

  • Optimized and analyzed a solution to convert half of New York state’s energy needs to renewable energy.
  • 4th Place Overall

Selected Press (About)

Business Analytics Teams Succeed in Competition

Hamline University Newsroom

N/A

2019

Data Analytics Team Takes Second in Competition

Hamline University Newsroom

N/A

2019